Two decades on human reliability analysis: a bibliometric analysis and literature review

LX Hou, R Liu, HC Liu, S Jiang - Annals of Nuclear Energy, 2021 - Elsevier
Human reliability analysis (HRA) is a systematic technique to assess human systematic risk,
and has been widely used in various industries for enhancing the safety and reliability of …

[HTML][HTML] Human reliability analysis: Exploring the intellectual structure of a research field

R Patriarca, M Ramos, N Paltrinieri, S Massaiu… - Reliability Engineering & …, 2020 - Elsevier
Humans play a crucial role in modern socio-technical systems. Rooted in reliability
engineering, the discipline of Human Reliability Analysis (HRA) has been broadly applied in …

[HTML][HTML] Dependency definitions for quantitative human reliability analysis

VP Paglioni, KM Groth - Reliability Engineering & System Safety, 2022 - Elsevier
Human reliability analysis (HRA) identifies the causal factors impacting the occurrence of
human failure events and quantifies probabilities based on those causal factors …

Expert judgments for performance sha** Factors' multiplier design in human reliability analysis

P Liu, Y Qiu, J Hu, J Tong, J Zhao, Z Li - Reliability Engineering & System …, 2020 - Elsevier
Human reliability analysis (HRA) still heavily relies on expert judgments to generate
reliability data. There exists a widely recognized need to validate and justify the reliability …

Towards increased systems resilience: new challenges based on dissonance control for human reliability in Cyber-Physical&Human Systems

F Vanderhaegen - Annual Reviews in Control, 2017 - Elsevier
This paper discusses concepts and tools for joint human and cyber-physical-systems
analysis and control in the view of increasing the whole system resilience. More precisely, it …

The role of AI in detecting and mitigating human errors in safety-critical industries: A review

E Gursel, M Madadi, JB Coble, V Agarwal… - Reliability Engineering & …, 2024 - Elsevier
For safety-critical industries, human error (HE) presents continual risks to system
productivity, reliability and safety. Artificial intelligence (AI) and machine learning (ML) …

Measuring the impacts of human and organizational factors on human errors in the Dutch construction industry using structured expert judgement

X Ren, GF Nane, KC Terwel, PH van Gelder - Reliability Engineering & …, 2024 - Elsevier
This study focuses on measuring the influence of critical Human and Organizational Factors
(HOFs) on human error occurrence in structural design and construction tasks within the …

[HTML][HTML] Assumptions in quantitative risk assessments: When explicit and when tacit?

R Flage, T Askeland - Reliability Engineering & System Safety, 2020 - Elsevier
In quantitative risk assessments, several explicit assumptions need to be made, to compute
the risk metrics addressed. Such assumptions may, for example, relate to the number of …

Estimating the quantitative relation between PSFs and HEPs from full-scope simulator data

Y Kim, J Park, W Jung, SY Choi, S Kim - Reliability Engineering & System …, 2018 - Elsevier
For probabilistically assessing the risks of nuclear power plants, human reliability analyses
(HRAs) have been conducted to systematically predict human error probabilities (HEPs) of …

Analysis of oceanaut operating performance using an integrated Bayesian network aided by the fuzzy logic theory

M Zhu, D Chen, J Wang, Y Sun - International Journal of Industrial …, 2021 - Elsevier
Because the oceanaut plays a significant role in safety and capability during manned deep-
diving scientific tasks, preventing oceanaut performance decline is of paramount …